ERIC A. UTT
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Antibiotic Resistance in Bacteria 8
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- Antibiotic Use and Resistance 4
- Co-authors
- Lonnie O'Neal Ingram (3 shared papers)Kylie F. Keshav (2 shared papers)Christina K. Eddy (2 shared papers)Gregory G. Stone (6 shared papers)Fred Quinn (4 shared papers)Harald Seifert (1 shared paper)Daniel F. Sahm (2 shared papers)Joseph M. Blondeau (1 shared paper)
- Journals
- Applied and Environmental Microbiology (2 papers)Infection and Drug Resistance (2 papers)Future Microbiology (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
ERIC A. UTT
23 papers receiving 359 citations
Peers
Comparison fields: 5 of 62
- Molecular Medicine 101
- Applied Microbiology and Biotechnology 32
- Biotechnology 96
- Endocrinology 32
- Microbiology 33
Countries citing papers authored by ERIC A. UTT
This map shows the geographic impact of ERIC A. UTT's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by ERIC A. UTT with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ERIC A. UTT more than expected).
Fields of papers citing papers by ERIC A. UTT
This network shows the impact of papers produced by ERIC A. UTT. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by ERIC A. UTT. The network helps show where ERIC A. UTT may publish in the future.
Co-authors
The 25 scholars most cited alongside ERIC A. UTT, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 99 | |
| 2 | 2022 | 37 | |
| 3 | 2021 | 31 | |
| 4 | 1989 | 31 | |
| 5 | 1991 | 29 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 24 | |
| 8 | 1995 | 22 | |
| 9 | 1994 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 1995 | 13 | |
| 12 | 1994 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 1994 | 1 |
About ERIC A. UTT
ERIC A. UTT is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Infectious Diseases, Endocrinology and Small Animals, having authored 25 papers that have together received 385 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Antibiotic Use and Resistance (4 papers), Antifungal resistance and susceptibility (3 papers), Fungal Infections and Studies (2 papers), Enzyme Production and Characterization (2 papers), Genomics and Phylogenetic Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Biofuel production and bioconversion (2 papers). The work is most often cited by research in Molecular Medicine (101 citations), Applied Microbiology and Biotechnology (32 citations), Biotechnology (96 citations), Endocrinology (32 citations) and Microbiology (33 citations). ERIC A. UTT has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Lonnie O'Neal Ingram, Kylie F. Keshav, Christina K. Eddy, Gregory G. Stone, Fred Quinn, Harald Seifert, Daniel F. Sahm, Joseph M. Blondeau, Charles D. Wells and Mark G G Wise. Their work appears in journals such as Applied and Environmental Microbiology, Infection and Drug Resistance, Future Microbiology, Antimicrobial Agents and Chemotherapy and Annals of the New York Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.